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Gemini 3.1 Pro vs SAM 3

Compare Gemini 3.1 Pro and SAM 3 side-by-side. See how these vision models stack up in Object Detection.

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GoogleGemini 3.1 Pro
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MetaSAM 3
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Models in this comparison

Meta

Gemini 3.1 Pro vs SAM 3 Comparison Table

Evals updated October 8, 2026Pricing updated October 10, 2026

PropertyGemini 3.1 ProSAM 3
OrganizationGoogleMeta
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateFeb 2026Nov 2025
Context Window1.0M—
ParametersUnknownUnknown
LicenseProprietaryCustom
Pricing per 1M tokens
Input $/1M$2.00No published price
Output $/1M$12.00No published price
Vision Tasks
Object DetectionDemoDemo
CaptioningDemoNot listed
Chart Question AnsweringSupportedNot listed
ClassificationDemoNot listed
Document Question AnsweringSupportedNot listed
Image TaggingSupportedNot listed
Instance SegmentationNot listedSupported
Multi-Label ClassificationSupportedNot listed
OCRDemoNot listed
Open Vocabulary Object DetectionNot listedSupported
Promptable Concept SegmentationNot listedDemo
Video Object TrackingNot listedSupported
Vision LanguageSupportedNot listed
Visual Question AnsweringDemoNot listed
Zero Shot SegmentationNot listedSupported
Model Features
Foundation VisionSupportedSupported
Multimodal VisionSupportedSupported
LLMs with Vision CapabilitiesSupportedNot listed
Zero-shot DetectionNot listedSupported
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
76.8%
Not evaluated
Avg cost / sample$0.010–
Avg speed / sample8.44s–
By task
Object Detection
67.4%
$0.010
–
Counting
71.6%
$0.0071
–
Identification
100.0%
$0.0070
–
OCR (low)
72.6%
$0.010
–
by category
Single value
67.8%
Transcription
88.5%
Structured JSON
82.0%
Text localization
52.0%
OCR (high)
73.1%
$0.026
–
by category
Single value
68.7%
Transcription
90.8%
Structured JSON
83.9%
Text localization
47.1%
Reasoning (low)
72.2%
$0.012
–
Reasoning (high)
74.8%
$0.021
–

Gemini 3.1 Pro vs SAM 3: Overview

Gemini 3.1 Pro

Gemini 3.1 Pro is a proprietary multimodal model from Google’s Gemini 3 series, released in early 2026 and designed for advanced reasoning across large multimodal datasets. It accepts text, images, audio, video, and documents, supporting up to a 1-million-token input context with up to 64k output tokens. Compared with Gemini 3 Pro, it improves long-context synthesis and multi-step reasoning, enabling more reliable analysis of large documents, datasets, and software codebases.

The model also advances visual understanding and grounding, allowing it to interpret UI screenshots, diagrams, and real-world scenes while referencing specific regions within images or video. These capabilities make Gemini 3.1 Pro well suited for multimodal workflows involving document processing, interface analysis, robotics research, and complex visual reasoning.

SAM 3

Released on November 19th, 2025, Segment Anything 3 (SAM 3) is a zero-shot image segmentation model that “detects, segments, and tracks objects in images and videos based on concept prompts.” This model was developed by Meta as the third model in the Segment Anything series.

Unlike its previous SAM models (Segment Anything and Segment Anything 2), you can provide SAM 3 with the prompt “shipping container” and it will generate precise segmentation masks for all shipping containers in an image. SAM 3 generates segmentation masks that correspond to the location of the objects found with a text prompt.

Frequently Asked Questions

SAM 3 has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.

Gemini 3.1 Pro is released under Proprietary, while SAM 3 uses Custom. Licensing often matters more than raw accuracy for commercial deployments, so check the terms against how you plan to ship.

Yes. The comparison demo on this page runs both models on the same image side by side for object detection in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.